At a Glance
- Tasks: Dive into data analytics, create reports, and uncover insights that drive business decisions.
- Company: Join a leading bank focused on innovation and customer outcomes.
- Benefits: Enjoy 25 days holiday, private medical insurance, and access to on-site gyms.
- Other info: Collaborate with diverse teams and learn cutting-edge technologies.
- Why this job: Gain hands-on experience in data-driven banking with clear career progression.
- Qualifications: Studying towards an undergraduate degree with strong analytical skills.
The predicted salary is between 40500 - 49500 £ per year.
Overview
In this 12-month Data & Analytics placement, you gain hands-on experience shaping how data informs decisions across Nationwide’s Retail, Customer Operations and Product function.
You’ll work on real projects, learn through structured development and collaborate with cross-functional teams to turn data into insight.
Expect exposure to analytics, reporting and dashboards while building practical skills for a future in data-driven banking.
This role offers a clear path to advanced analytics careers within the org, with mentoring and a focus on customer outcomes.
- Pay / Benefits
- 25 days holiday
- annual bonus
- Private medical insurance
- Wellhub access and on-site gyms
- Competitive pension
- Salary sacrifice benefits
Responsibilities
- Contribute to meaningful analytics work from day one
- Rotate across Data & Analytics teams to gain diverse perspectives
- Analyse data, build dashboards, create reports and visualisations
- Identify trends and answer business questions with stakeholders
- Develop understanding of data management, reporting and governance
- Engage with colleagues to learn how data supports decision-making
- Learn and apply multiple analysis approaches and new technologies
- Key requirements
- Strong analytical thinking and problem-solving
- Curiosity about trends and drivers of business performance
- Ability to interpret information and support decisions with evidence
- Ambition to learn, grow and take on new challenges
- Logical, methodical approach with attention to detail and the bigger picture
- Confidence to build relationships across the business
- Drive, high performance and openness to feedback
- Eligibility: studying towards an undergraduate degree
- Curiosity
- Collaboration
- Communication
- Power BI
- SAS
- SQL
Data & Analytics Industrial Placement - Retail in Northampton employer: Nationwide Building Society
At Nationwide, we pride ourselves on being an exceptional employer, offering a supportive and inclusive work culture that prioritises employee well-being and development. With flexible working options, competitive benefits including private medical insurance and a strong pension plan, and a commitment to recognising and celebrating achievements, we empower our team members to thrive both personally and professionally. Our Glasgow office fosters collaboration and innovation, making it an ideal environment for those looking to make a meaningful impact in the financial services sector.
Contact Details:
Nationwide Building Society Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data & Analytics Industrial Placement - Retail in Northampton
✨Get Involved in Data Communities
Join local data science meetups or online communities like Kaggle, where you can showcase your skills through competitions and collaborate with others. Being part of these groups not only boosts your visibility but also opens up potential placement opportunities!
✨Leverage University Career Services
Don’t forget to check in with your university’s career services! They often have exclusive placement opportunities, workshops, and networking events tailored for data science students that can help you land that sweet gig at Nationwide Building Society.
✨Show Off Your Projects
Create a public portfolio or blog where you can share your data science projects. This not only demonstrates your skills but also gives potential employers like Nationwide Building Society a taste of what you can do! Plus, it’s a great conversation starter in interviews.
✨Connect with Professionals on LinkedIn
Reach out to data science professionals on LinkedIn and ask for informational interviews. Get to know their journeys and share your interest in placements. This approach makes you memorable and could open doors to opportunities at places like Nationwide Building Society.
We think you need these skills to ace Data & Analytics Industrial Placement - Retail in Northampton
Some tips for your application 🫡
Show off Your Data Skills:As a budding data scientist, we want to see your hands-on experience. Make sure your CV highlights any relevant projects you've worked on, especially those involving data analysis or machine learning. Include any programming languages you're proficient in, like Python or R, and don't forget to mention tools like TensorFlow or SQL that you’ve used!
Craft a Passionate Cover Letter:For a placement, your enthusiasm and eagerness to learn mean loads to us! In your cover letter, express what excites you about data science and how it aligns with your aspirations. Share specific examples of what you've learned so far – whether it's courses, personal projects, or even data challenges you've tackled!
Make Your Projects Pop:We love seeing practical examples of your work, so if you have a portfolio, now's the time to shine! Include detailed descriptions of your projects, the data sources you used, the challenges you faced, and what you achieved. If possible, share links to your GitHub or a personal website showcasing your work – it adds that extra touch!
Demonstrate Statistical Knowledge:Data science isn't just about coding; it's also about understanding the stats behind the algorithms. Be sure to highlight any coursework or relevant certifications you have in statistics or data analysis on your CV. It’ll show us you’ve got the theoretical background to complement your practical skills!
How to prepare for a job interview at Nationwide Building Society
✨Master Your Data Tools
For a data science placement, it's crucial to get comfy with tools like Python, R, or SQL. Brush up on libraries like Pandas and NumPy, as you might be thrown some technical questions during the interview that require real-time coding or problem-solving.
✨Showcase Your Projects
Bring along a portfolio of your data projects, especially if they're relevant to Nationwide Building Society. Whether it's a Kaggle competition or a personal project, showing off your practical work can really set you apart and demonstrate your hands-on experience.
✨Prepare for Case Studies
Interviews in data science often include case study questions. Be ready to walk through your thought process on how to approach a data problem, what analysis you'd do, and how you'd interpret the results. This shows your analytical thinking and understanding of data.
✨Express Your Enthusiasm
Since it's a placement, they're looking for potential and enthusiasm just as much as skills. Be sure to express why you're passionate about data science, how you're eager to learn, and why you want to join Nationwide Building Society specifically. Let your motivation shine through!
